@techreport{ed71754cfc6242d3a05609da7919ab89,
title = "Aggregating Epigenetic Clocks to Study Human Capital Formation",
abstract = "Epigenetics is the study of how people{\textquoteright}s behavior and environments influence the way their genes are expressed, even though their DNA sequence is itself unchanged. By aggregating age-related epigenetic markers, epigenetic {\textquoteleft}clocks{\textquoteright} have become the leading tool for studying biological aging. We make an important contribution by developing a novel, integrated measure of epigenetic aging – the Multi EpiGenetic Age (MEGA) clock – which combines several existing epigenetic clocks to reduce measurement error and improve estimation efficiency. We use the MEGA clock in three empirical contexts to show that: i) accelerated epigenetic aging in adolescence is associated with worse educational, mental-health, and labor market outcomes in early adulthood; ii) exposure to child maltreatment before adolescence is associated with half a year higher epigenetic aging; and iii) that entering school one year later accelerates epigenetic aging by age seven, particularly among disadvantaged children. The MEGA clock is robust to alternative methods for constructing it, providing a flexible and interpretable approach for incorporating epigenetic data into a wide variety of settings.",
keywords = "Child abuse, DNA methylation, epigenetic clocks, human capital, ALSPAC data",
author = "Giorgia Menta and Pietro Biroli and Divya Mehta and Conchita D'Ambrosio and Cobb-Clark, \{Deborah A.\}",
year = "2025",
month = sep,
language = "English",
series = "IZA Discussion paper",
publisher = "IZA – Institute of Labor Economics",
number = "18114",
type = "WorkingPaper",
institution = "IZA – Institute of Labor Economics",
}